Basic loop to train a model.
tf.train.basic_train_loop( supervisor, train_step_fn, args=None, kwargs=None, master='' )
Calls train_step_fn
in a loop to train a model. The function is called as:
train_step_fn(session, *args, **kwargs)
It is passed a tf.compat.v1.Session
in addition to args
and kwargs
. The function typically runs one training step in the session.
Args | |
---|---|
supervisor | tf.compat.v1.train.Supervisor to run the training services. |
train_step_fn | Callable to execute one training step. Called repeatedly as train_step_fn(session, *args **kwargs) . |
args | Optional positional arguments passed to train_step_fn . |
kwargs | Optional keyword arguments passed to train_step_fn . |
master | Master to use to create the training session. Defaults to "" which causes the session to be created in the local process. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/train/basic_train_loop